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Transcript
Oracle University | Contact Us: +34916267792
Oracle Database 12c: Analytic SQL for Data Warehousing
Duration: 2 Days
What you will learn
This Oracle Database 12c: Analytic SQL for Data Warehousing training teaches you how to interpret the concept of a
hierarchical query, create a tree-structured report, format hierarchical data and exclude branches from the tree structure.
You'll also learn to use regular expressions and sub-expressions to search for, match, and replace strings.
Learn To:
Use SQL with aggregation operators, SQL for Analysis and Reporting functions.
Group and aggregate data using the ROLLUP and CUBE operators, the GROUPING function, Composite Columns and
the concatenated Groupings.
Analyze and report data using Ranking functions, the LAG/LEAD Functions and the PIVOT and UNPIVOT clauses.
Perform advanced pattern matching.
Use regular expressions to search for, match and replace strings.
Benefits to You
Enrolling in this course will help data warehouse builders and implementers, database administrators, system
Application Developers
Data Warehouse Analyst
Data Warehouse Developer
Database Administrators
Database Designers
Support Engineer
Related Training
Required Prerequisites
Data Warehouse design, implementation, and maintenance experience
Familiarity with Oracle SQL Developer and SQL*Plus
Familiarity with SQL
Good working knowledge of the SQL language
Oracle Database 11g: Data Warehousing Fundamentals
Oracle Database: Introduction to SQL Ed 1.1
Suggested Prerequisites
Conceptual experience designing data warehouses
Good understanding of relational technology
Oracle Database 11: Administración de Almacenes de Datos Nuevo
Oracle Database 12c: Introduction for Experienced SQL Users
Practical experience implementing data warehouses
Using Java - for PL/SQL and Database Developers
Course Objectives
Group and aggregate data using the ROLLUP and CUBE operators
Perform pattern matching using the MATCH_RECOGNIZE clause
Course Topics
Introduction
Course Objectives, Course Agenda and Class Account Information
Describe the Schemas and Appendices used in the Lesson
Overview of SQL*Plus Environment
Overview of SQL Developer
Overview of Analytic SQL
Oracle Database SQL and Data Warehousing Documentation
Grouping and Aggregating Data Using SQL
Generating Reports by Grouping Related Data
Review of Group Functions
Reviewing GROUP BY and HAVING Clause
Using the ROLLUP and CUBE Operators
Using the GROUPING Function
Working with GROUPING SET Operators and Composite Columns
Using Concatenated Groupings with Example
Hierarchical Retrieval
Using Hierarchical Queries
Sample Data from the EMPLOYEES Table
Natural Tree Structure
Hierarchical Queries: Syntax
Walking the Tree: Specifying the Starting Point
Walking the Tree: Specifying the Direction of the Query
Using the WITH Clause
Hierarchical Query Example: Using the CONNECT BY Clause
Working with Regular Expressions
Introducing Regular Expressions
Using the Regular Expressions Functions and Conditions in SQL and PL/SQL
Introducing Metacharacters
Using Metacharacters with Regular Expressions
Regular Expressions Functions and Conditions: Syntax
Performing a Basic Search Using the REGEXP_LIKE Condition
Finding Patterns Using the REGEXP_INSTR Function
Extracting Substrings Using the REGEXP_SUBSTR Function
Analyzing and Reporting Data Using SQL
Overview of SQL for Analysis and Reporting Functions
Using Analytic Functions
Using the Ranking Functions
Using Reporting Functions
Performing Pivoting and Unpivoting Operations
Performing Pivoting Operations
Using the PIVOT and UNPIVOT Clauses
Copyright © 2013, Oracle. All rights reserved.
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